Genome-wide identification and analysis of elongase of very long chain fatty acid genes in the silkworm, <i>Bombyx mori</i>
Bibliographic record
Abstract
Very long chain fatty acids (VLCFAs), such as sphingolipids, are components of cellular lipids, which are essential for cell proliferation. Mutations in the genes that encode proteins participating in VLCFA biosynthesis may cause inherited diseases, such as macular degeneration. Elongases of very long chain fatty acid (ELOVL) are enzymes that are involved in the biosynthesis of VLCFAs. Here, a total of 13 ELOVL genes, distributed across three chromosomes, were identified in the silkworm genome; all the ELOVL members contain a distinct ELO domain and a conserved HXXHH motif. Phylogenetic reconstruction was performed to analyze the evolutionary relationships among different species and to predict gene functions. The 13 ELOVL genes were assigned to the ELOVL3/6, ELOVL1/7, and ELOVL4 clades. Microarray and semiquantitative PCR analyses indicated that these genes are differentially expressed among various tissues, in turn suggesting functional divergence in the growth and development of each tissue. Further investigation showed that the expression level of the BGIBMGA000424 gene is significantly negatively correlated with the cocoon-shell weight among different silkworm strains. Taken together, the present study is the first comprehensive analysis of ELOVL genes in silkworm, and the results may serve as a foundation for further analysis of the physiological functions of ELOVL genes in silkworm.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".